Azure Cache for Redis provides an in-memory data store based on the open-source software Redis. When used as a cache, Redis improves the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory instead of being loaded from disk by a database.
Azure Cache for Redis can be used as an in-memory data structure store, a distributed non-relational database, and a message broker. Application performance is improved by taking advantage of the low-latency, high-throughput performance of the Redis engine.
Azure Cache for Redis provides access to a secure, dedicated Redis cache. Azure Cache for Redis is managed by Microsoft, hosted within Azure, and accessible to any application within or outside of Azure.
Oracle Coherence is an in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees.
Oracle Coherence comes with a rich set of processing and event capabilities so applications can scale processing with increased data volumes. By automatically and dynamically partitioning data, Oracle Coherence ensures continuous data availability and transactional integrity, even in the event of a server or site failure.
Oracle Coherence provides organizations with a robust scale-out data abstraction layer that brokers the supply and demand of data between applications and data sources. This cost-effectively offloads shared data services such as databases, mainframes, and partner services.
For more information on Oracle Coherence, visit Oracle.com
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